Abstract
Better quality leads to less waste, improved competitiveness, higher customer satisfaction, higher sales and revenues, and eventually higher profitability. Meeting the quality and performance goals requires that decisions be based on reliable tests and quantitative test data analysis. Statistical process control (SPC) is such a fundamental quantitative approach to quality control and improvement. Walter Shewhart in 1920s and 1930s pioneered the use of statistical methods as a tool to manage and control production.
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Acknowledgment
The authors would like to thank Prof. Kamran Nikbin, Prof. D. Gary Harlow, Mr. Kay Ellinghaus, Mr. Markus Pieszkalla, Mr. Marek Rybarz, Dr. Pierre Olivier Santacreu, Mr. Maleki Shervin, Mr. Herry Cheng, Mr. Tim Gardner, Mr. Joesph Berkemeier, and Mr. Richard Voltenburg for their helpful comments and contributions to works summarized in this chapter.
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Wei, Z., Luo, L., Yang, F., Lin, B., Konson, D. (2016). Product Durability/Reliability Design and Validation Based on Test Data Analysis. In: Pham, H. (eds) Quality and Reliability Management and Its Applications. Springer Series in Reliability Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-6778-5_13
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